نوع مقاله : مقاله پژوهشی
نویسندگان
1 استادیار پژوهش، بخش تحقیقات گیاهپزشکی، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان گلستان، سازمان تحقیقات، آموزش و ترویج کشاورزی، گرگان، ایران
2 استادیار بخش تحقیقات گیاهپزشکی، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان مازندران، سازمان تحقیقات، آموزش و ترویج کشاورزی، ساری، ایران
3 دانشیار گروه زراعت دانشگاه علوم کشاورزی و منابع طبیعی گرگان
4 محقق علفهایهرز، بخش تحقیقات گیاهپزشکی، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان گلستان، سازمان تحقیقات، آموزش و ترویج کشاورزی، گرگان، ایران
5 استادیار پژوهش، موسسه تحقیقات پنبه کشور، سازمان تحقیقات، آموزش و ترویج کشاورزی، گرگان، ایران
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
Weed seed abscission and their accumulation in the soil annually, cause formation of a persistent weed seed bank that is the origin of future weed infection for many years. In order to survey the relationship between weed seeds in soil seed bank and the weed population during growing season of cotton field, this experiment was conducted in Golestan province in 2004-2005.Based on the results, 49 species of weeds belong to 19 families were recorded that Cyperus rotundus L., Amaranthus spp., Echinochloa spp., Hibiscus terionum L., Paspalum paspaloides (Michx.)Scribner had the highest density in cotton field respectively. The most frequent weeds were Amaranthus spp., C. rotundus, Solanum nigrum L., Abutilon theophrasti Medic., Convolvulus arvensis L. and Echinochloa spp.. Survey of soil samples showed, after Amaranthus spp. that were observed in 90 % of soil samples, the most frequent weeds in soil seed bank were Stellaria media L., Chenopodium album L., C.rotundus and Portulaca oleracea L. respectively.Poa annua L., S. media, C.album, Amaranthus spp. and C. rotundus had the highest density in soil seedbank. The results showed a strong linear relationship between weed seeds in soil seedbank and seedling numbers in the cotton fields for all of weeds.
Key words: Correlations, prediction, regression, weed management.
کلیدواژهها [English]
10. Forcella, F. 2001. According to private connection to Frank Forcella.
11. Forcella, F., Alm, D., Renner, K.A., Harvey, R.G., Clay, Sh. and Buhler, D.D. 1997. Weed seed bank emergence across the Corn Belt. Weed Sci. 45: 67-76.
12. Forcella, F. 1993. Prediction of weed densities from the soil seed reservoir. Proc. Int. Symp., Indian Society of Weed Sci. 48: 327-332.
13. Forcella F., Eradat-Oskoui, K. and Wagner, W.S. 1993. Application of weed seedbank ecology to low-input crop management. Ecol. Appl. 3(1): 74-83.
14. Forcella, F., Wilson, R.G., Renner, A., Dekker, J., Harvey, R.G., Alm, D.A., Buhler, D.D. and Cardina, J. 1992. Weed seedbank of the U.S. corn belt: Magnitud, Variation, Emergence and Application. Weed Sci. 40: 636-644.
15. Gross, K.L. and Renner, K.A. 1989. A new method for Estimating seed Number in the soil. Weed Sci. 37: 836-839.
16. Grundy, A.C. 2003. Predicting weed emergence: a review of approaches and future challenges. Weed Res. 43: 1-11.
17. Grundy A.C. and Mead, A. 2000. Modeling weed emergence as a function of meteorological records. Weed Sci. 48 (5): 594-603.
18. Grundy, A.C. and Bond, W. 1998. Managing the weed seedbank. Nutr &Food Sci. (NFS), 98(2): 80 – 83.
19. King, R.P., Lybecker, D.W., Schweitzer, E.E., Zimdal, R.L. 1986. Bioeconomic modeling to stimulate weed control strategies for continuous corn. Weed Sci. 34: 977-979.
20. Lanini, W.T. 2001. Precision Agriculture: Comparision of weed seed and previous weed population for prediction of subsequent weed populations. University of California, state wide integrated pest management project.
21. Mulugeta, D. and Stolenberg, D.E. 1997. Increased weed emergence and seed bank depletion by disturbance in no tillage system. Weed Sci. 45: 234-241.
22. Mulugeta, D. and Stolenberg, D.E. 1997. Weed and seed bank management with integrated methods as influenced by tillage. Weed Sci. 45: 706-715.
23. Rahman, A., James, T.K. and Grbavac, N. 2006. Correlation between the soil seed bank and weed populations in maize fields. Weed Biol. Manage. 6(4): 228-234.
24. Rahman, A., James, T.K., Mellsop, J.M. and Grbavac, N. 2004. Predicting broadleaf weed populations in maize from the soil seedbank. New Zeal. J. Plant Protect. 57: 281-285.
25. Rahman A., James, T.K., Mellsop, J.M. and Grbavac, N. 2003. Relationship between soil seedbank and field populations of grass weeds in maize. New Zeal. J. Plant Protect. 56: 215-219.
26. Rahman, A., James, T.K., Mellsop, J. and Grbavac, N. 2000. Effect of cultivation methods on weed seed distribution and emergence. New Zeal. J. Plant Protect. 53: 28-33.
27. Rahman, A., James, T.K., Grbavac, N., Waller, J.E. and Mellsop, J. 1999. Spatial variability of Fatten seeds in the soil under repeat maize cropping. Proc. 52nd N.Z. Plant Protection Conf. Arable Crops. 209-213.
28. Rahman, A., James, T.K., Waller, J.E. and Grbavac, N. 1997. Soil sampling studies for estimation of weed seed banks. 50th N.Z. Plant Protection Conf. New Zeal. J. Plant Protect. 447-452.
29. Schweizer, E.E., Wester, Ph. and Lybeker, D.W. 1998. Seed bank and emerged annual weed population in corn fields (Zea mays) in Colorado. Weed Technol. 12: 243-247.
30. Travis. A.J. and Draper, S.R. 1985. A computer based system for the recognition of seed shape. Seed Science and Technol. 13: 813-820.
31. Wilson, R.G., Kerr, E.D. and Nelson, L.A. 1985. Potential for weed seed content in the soil to predict future weed problems. Weed Sci. 33: 171-175.
32. Zeinali, A., Soltani, A. and Galeshi, S. 1998. Review of soil seed bank changes application in weed management. J. Agric. Sci. Nat. Resour. 5(3, 4): 5-23., autumn and winter.